Overview

Dataset statistics

Number of variables16
Number of observations300000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.6 MiB
Average record size in memory128.0 B

Variable types

NUM16

Warnings

id has unique values Unique

Reproduction

Analysis started2021-01-05 08:40:10.330310
Analysis finished2021-01-05 08:41:32.252016
Duration1 minute and 21.92 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

id
Real number (ℝ≥0)

UNIQUE

Distinct300000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249825.1459
Minimum1
Maximum499999
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:32.447060image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24816.9
Q1124656.5
median249738.5
Q3374836.25
95-th percentile475082.1
Maximum499999
Range499998
Interquartile range (IQR)250179.75

Descriptive statistics

Standard deviation144476.7326
Coefficient of variation (CV)0.5783114108
Kurtosis-1.201675411
Mean249825.1459
Median Absolute Deviation (MAD)125089
Skewness0.001580802342
Sum7.494754376e+10
Variance2.087352625e+10
MonotocityStrictly increasing
2021-01-05T19:41:32.579090image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20491< 0.1%
 
4624111< 0.1%
 
4563081< 0.1%
 
4460671< 0.1%
 
4501611< 0.1%
 
4030541< 0.1%
 
4071481< 0.1%
 
3969071< 0.1%
 
3948581< 0.1%
 
4214791< 0.1%
 
Other values (299990)299990> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
31< 0.1%
 
41< 0.1%
 
51< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
4999991< 0.1%
 
4999981< 0.1%
 
4999971< 0.1%
 
4999961< 0.1%
 
4999951< 0.1%
 

cont1
Real number (ℝ)

Distinct299865
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5068728582
Minimum-0.08226332148
Maximum1.016227417
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:32.830146image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.08226332148
5-th percentile0.2428022932
Q10.3430778493
median0.484005495
Q30.6437893542
95-th percentile0.921274612
Maximum1.016227417
Range1.098490738
Interquartile range (IQR)0.3007115049

Descriptive statistics

Standard deviation0.2039761938
Coefficient of variation (CV)0.402420825
Kurtosis-0.2526819198
Mean0.5068728582
Median Absolute Deviation (MAD)0.1483395217
Skewness0.5295775749
Sum152061.8575
Variance0.04160628763
MonotocityNot monotonic
2021-01-05T19:41:32.953173image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.46589727782< 0.1%
 
0.35433161972< 0.1%
 
0.50540336982< 0.1%
 
0.73209073472< 0.1%
 
0.6954561492< 0.1%
 
0.51911141382< 0.1%
 
0.50433052452< 0.1%
 
0.50413529762< 0.1%
 
0.49810752282< 0.1%
 
0.50335109732< 0.1%
 
Other values (299855)299980> 99.9%
 
ValueCountFrequency (%) 
-0.082263321481< 0.1%
 
-0.07723773641< 0.1%
 
-0.059947855441< 0.1%
 
-0.058868885921< 0.1%
 
-0.056880459661< 0.1%
 
ValueCountFrequency (%) 
1.0162274171< 0.1%
 
1.0156984831< 0.1%
 
1.0156720661< 0.1%
 
1.0151871561< 0.1%
 
1.015003651< 0.1%
 

cont2
Real number (ℝ)

Distinct299906
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4978980045
Minimum-0.03139747285
Maximum0.8596967694
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:33.200229image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.03139747285
5-th percentile0.1183835013
Q10.319169876
median0.5532094553
Q30.7312630386
95-th percentile0.8058216935
Maximum0.8596967694
Range0.8910942423
Interquartile range (IQR)0.4120931626

Descriptive statistics

Standard deviation0.2281594531
Coefficient of variation (CV)0.4582453657
Kurtosis-1.18047306
Mean0.4978980045
Median Absolute Deviation (MAD)0.1940471058
Skewness-0.2480799606
Sum149369.4013
Variance0.05205673606
MonotocityNot monotonic
2021-01-05T19:41:33.327257image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2426563812< 0.1%
 
0.15690385352< 0.1%
 
0.13231482012< 0.1%
 
0.069559230852< 0.1%
 
0.35467005582< 0.1%
 
0.61874103922< 0.1%
 
0.4881164652< 0.1%
 
0.21399916032< 0.1%
 
0.77890426512< 0.1%
 
0.28774574762< 0.1%
 
Other values (299896)299980> 99.9%
 
ValueCountFrequency (%) 
-0.031397472851< 0.1%
 
-0.031157236371< 0.1%
 
-0.024398472721< 0.1%
 
-0.023066260971< 0.1%
 
-0.021603147651< 0.1%
 
ValueCountFrequency (%) 
0.85969676941< 0.1%
 
0.85782496821< 0.1%
 
0.85502046041< 0.1%
 
0.853578741< 0.1%
 
0.8519901871< 0.1%
 

cont3
Real number (ℝ≥0)

Distinct299745
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5215572704
Minimum0.02096686736
Maximum1.006954603
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:33.572312image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02096686736
5-th percentile0.2155841171
Q10.3440960647
median0.5514710487
Q30.6483148058
95-th percentile0.8764403406
Maximum1.006954603
Range0.9859877359
Interquartile range (IQR)0.3042187411

Descriptive statistics

Standard deviation0.2007700586
Coefficient of variation (CV)0.3849434569
Kurtosis-0.6715223816
Mean0.5215572704
Median Absolute Deviation (MAD)0.1411268126
Skewness0.009036886781
Sum156467.1811
Variance0.04030861645
MonotocityNot monotonic
2021-01-05T19:41:33.723345image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5736696993< 0.1%
 
0.64259239192< 0.1%
 
0.55676174522< 0.1%
 
0.60662374342< 0.1%
 
0.51938920532< 0.1%
 
0.55728807812< 0.1%
 
0.55541504412< 0.1%
 
0.23632214722< 0.1%
 
0.53861918162< 0.1%
 
0.58040962342< 0.1%
 
Other values (299735)299979> 99.9%
 
ValueCountFrequency (%) 
0.020966867361< 0.1%
 
0.026331046621< 0.1%
 
0.026577627271< 0.1%
 
0.040825864291< 0.1%
 
0.041161670881< 0.1%
 
ValueCountFrequency (%) 
1.0069546031< 0.1%
 
1.0016806311< 0.1%
 
1.0015438341< 0.1%
 
0.99990524911< 0.1%
 
0.99720855191< 0.1%
 

cont4
Real number (ℝ≥0)

Distinct299892
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5156828404
Minimum0.1527614227
Maximum1.010402194
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:34.021412image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.1527614227
5-th percentile0.2083876324
Q10.2949349672
median0.4828798578
Q30.7487053331
95-th percentile0.880075333
Maximum1.010402194
Range0.8576407717
Interquartile range (IQR)0.4537703659

Descriptive statistics

Standard deviation0.2330354807
Coefficient of variation (CV)0.4518969072
Kurtosis-1.335372515
Mean0.5156828404
Median Absolute Deviation (MAD)0.2111374978
Skewness0.2503833616
Sum154704.8521
Variance0.05430553525
MonotocityNot monotonic
2021-01-05T19:41:34.150441image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.26185711312< 0.1%
 
0.87173382342< 0.1%
 
0.31157936432< 0.1%
 
0.23100854682< 0.1%
 
0.75184616562< 0.1%
 
0.82370476912< 0.1%
 
0.69292925252< 0.1%
 
0.20122887682< 0.1%
 
0.4829655992< 0.1%
 
0.77330872882< 0.1%
 
Other values (299882)299980> 99.9%
 
ValueCountFrequency (%) 
0.15276142271< 0.1%
 
0.15397066061< 0.1%
 
0.1545479321< 0.1%
 
0.15541367071< 0.1%
 
0.15601317831< 0.1%
 
ValueCountFrequency (%) 
1.0104021941< 0.1%
 
1.0089331631< 0.1%
 
0.99806620211< 0.1%
 
0.997036971< 0.1%
 
0.99692204631< 0.1%
 

cont5
Real number (ℝ≥0)

Distinct299730
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5020220136
Minimum0.2763766685
Maximum1.034260891
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:34.392495image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2763766685
5-th percentile0.2811811167
Q10.2841084838
median0.4517325561
Q30.6706601962
95-th percentile0.9272414064
Maximum1.034260891
Range0.7578842229
Interquartile range (IQR)0.3865517124

Descriptive statistics

Standard deviation0.2207011812
Coefficient of variation (CV)0.439624509
Kurtosis-0.887802616
Mean0.5020220136
Median Absolute Deviation (MAD)0.1684874823
Skewness0.6103042388
Sum150606.6041
Variance0.0487090114
MonotocityNot monotonic
2021-01-05T19:41:34.516522image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.28329693553< 0.1%
 
0.76203766682< 0.1%
 
0.30813958492< 0.1%
 
0.40917566832< 0.1%
 
0.28343443092< 0.1%
 
0.28464254652< 0.1%
 
0.6035891962< 0.1%
 
0.49310525372< 0.1%
 
0.28427386852< 0.1%
 
0.28451602282< 0.1%
 
Other values (299720)299979> 99.9%
 
ValueCountFrequency (%) 
0.27637666851< 0.1%
 
0.2764666361< 0.1%
 
0.27651325371< 0.1%
 
0.276822031< 0.1%
 
0.27682203311< 0.1%
 
ValueCountFrequency (%) 
1.0342608911< 0.1%
 
1.0340460591< 0.1%
 
1.0338335261< 0.1%
 
1.0337107061< 0.1%
 
1.0337081311< 0.1%
 

cont6
Real number (ℝ≥0)

Distinct299830
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5265152305
Minimum0.06616556356
Maximum1.04385773
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:34.762577image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.06616556356
5-th percentile0.2389758192
Q10.3561629297
median0.4709875074
Q30.6940428305
95-th percentile0.9311599606
Maximum1.04385773
Range0.9776921663
Interquartile range (IQR)0.3378799008

Descriptive statistics

Standard deviation0.2179089794
Coefficient of variation (CV)0.4138702298
Kurtosis-0.7997201489
Mean0.5265152305
Median Absolute Deviation (MAD)0.144225825
Skewness0.537975766
Sum157954.5691
Variance0.04748432331
MonotocityNot monotonic
2021-01-05T19:41:34.887605image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.45540200472< 0.1%
 
0.35059302412< 0.1%
 
0.44576592832< 0.1%
 
0.45706297632< 0.1%
 
0.495263982< 0.1%
 
0.29105055322< 0.1%
 
0.46366541612< 0.1%
 
0.49414303312< 0.1%
 
0.32574452382< 0.1%
 
0.48464099252< 0.1%
 
Other values (299820)299980> 99.9%
 
ValueCountFrequency (%) 
0.066165563561< 0.1%
 
0.080040819911< 0.1%
 
0.083704283191< 0.1%
 
0.085217134761< 0.1%
 
0.085372692051< 0.1%
 
ValueCountFrequency (%) 
1.043857731< 0.1%
 
1.043470331< 0.1%
 
1.0429672711< 0.1%
 
1.0412271621< 0.1%
 
1.0408298631< 0.1%
 

cont7
Real number (ℝ)

Distinct299876
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4878900924
Minimum-0.0976663006
Maximum1.066167475
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:35.126659image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.0976663006
5-th percentile0.2476280618
Q10.3466000236
median0.4668245894
Q30.5812921549
95-th percentile0.8372817028
Maximum1.066167475
Range1.163833776
Interquartile range (IQR)0.2346921313

Descriptive statistics

Standard deviation0.1810960542
Coefficient of variation (CV)0.3711820695
Kurtosis-0.004491432684
Mean0.4878900924
Median Absolute Deviation (MAD)0.1179344549
Skewness0.7034115507
Sum146367.0277
Variance0.03279578084
MonotocityNot monotonic
2021-01-05T19:41:35.257688image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.55297843242< 0.1%
 
0.36442539052< 0.1%
 
0.24537616242< 0.1%
 
0.34175705072< 0.1%
 
0.33103470452< 0.1%
 
0.33579840142< 0.1%
 
0.37176949382< 0.1%
 
0.31191171812< 0.1%
 
0.49113802062< 0.1%
 
0.39923800992< 0.1%
 
Other values (299866)299980> 99.9%
 
ValueCountFrequency (%) 
-0.09766630061< 0.1%
 
-0.029459772511< 0.1%
 
-0.026628254281< 0.1%
 
-0.021684079821< 0.1%
 
-0.010400999991< 0.1%
 
ValueCountFrequency (%) 
1.0661674751< 0.1%
 
1.0627920531< 0.1%
 
1.0548352031< 0.1%
 
1.054750361< 0.1%
 
1.0531062271< 0.1%
 

cont8
Real number (ℝ≥0)

Distinct299853
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5251634024
Minimum0.2172599973
Maximum1.024427233
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:35.511744image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.2172599973
5-th percentile0.2674215229
Q10.3414863553
median0.483460397
Q30.685250323
95-th percentile0.9385032932
Maximum1.024427233
Range0.807167236
Interquartile range (IQR)0.3437639676

Descriptive statistics

Standard deviation0.2162214743
Coefficient of variation (CV)0.4117222817
Kurtosis-0.8781174757
Mean0.5251634024
Median Absolute Deviation (MAD)0.1598043404
Skewness0.5697277612
Sum157549.0207
Variance0.04675172596
MonotocityNot monotonic
2021-01-05T19:41:35.647775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.29900129732< 0.1%
 
0.29446852522< 0.1%
 
0.31659643362< 0.1%
 
0.63220380912< 0.1%
 
0.37913993482< 0.1%
 
0.3036369092< 0.1%
 
0.38418269492< 0.1%
 
0.36337332492< 0.1%
 
0.32476237322< 0.1%
 
0.37175844062< 0.1%
 
Other values (299843)299980> 99.9%
 
ValueCountFrequency (%) 
0.21725999731< 0.1%
 
0.2177246881< 0.1%
 
0.21843348171< 0.1%
 
0.21963825141< 0.1%
 
0.21974735391< 0.1%
 
ValueCountFrequency (%) 
1.0244272331< 0.1%
 
1.0236641261< 0.1%
 
1.0235683271< 0.1%
 
1.0234690811< 0.1%
 
1.0234562041< 0.1%
 

cont9
Real number (ℝ)

Distinct299651
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4598574065
Minimum-0.2406041917
Maximum1.004114099
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:35.898831image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2406041917
5-th percentile0.1822731762
Q10.3308320051
median0.4168428386
Q30.575040771
95-th percentile0.8899637144
Maximum1.004114099
Range1.244718291
Interquartile range (IQR)0.2442087659

Descriptive statistics

Standard deviation0.196684604
Coefficient of variation (CV)0.4277078095
Kurtosis0.1956550999
Mean0.4598574065
Median Absolute Deviation (MAD)0.1124050692
Skewness0.796232871
Sum137957.222
Variance0.03868483345
MonotocityNot monotonic
2021-01-05T19:41:36.031861image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.61095320112< 0.1%
 
0.90368593992< 0.1%
 
0.40072592622< 0.1%
 
0.44063060752< 0.1%
 
0.17567138772< 0.1%
 
0.34130135962< 0.1%
 
0.60166598242< 0.1%
 
0.88560260652< 0.1%
 
0.86188238752< 0.1%
 
0.28834133622< 0.1%
 
Other values (299641)299980> 99.9%
 
ValueCountFrequency (%) 
-0.24060419171< 0.1%
 
-0.23075443461< 0.1%
 
-0.22789217951< 0.1%
 
-0.22224673781< 0.1%
 
-0.21096677551< 0.1%
 
ValueCountFrequency (%) 
1.0041140991< 0.1%
 
1.0003219411< 0.1%
 
0.99527631851< 0.1%
 
0.99465650251< 0.1%
 
0.99128305151< 0.1%
 

cont10
Real number (ℝ)

Distinct299851
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5205322691
Minimum-0.0850460036
Maximum1.199951392
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:36.275915image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum-0.0850460036
5-th percentile0.2326497499
Q10.3754647674
median0.4588769868
Q30.7002917662
95-th percentile0.8451774058
Maximum1.199951392
Range1.284997396
Interquartile range (IQR)0.3248269989

Descriptive statistics

Standard deviation0.2018541915
Coefficient of variation (CV)0.3877842038
Kurtosis-1.051673934
Mean0.5205322691
Median Absolute Deviation (MAD)0.1363128905
Skewness0.3626009614
Sum156159.6807
Variance0.04074511464
MonotocityNot monotonic
2021-01-05T19:41:36.409945image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.8422414112< 0.1%
 
0.21200034842< 0.1%
 
0.85945871192< 0.1%
 
0.24772125672< 0.1%
 
0.84121222722< 0.1%
 
0.28686825832< 0.1%
 
0.75175867082< 0.1%
 
0.83651023522< 0.1%
 
0.45513726182< 0.1%
 
0.21717306052< 0.1%
 
Other values (299841)299980> 99.9%
 
ValueCountFrequency (%) 
-0.08504600361< 0.1%
 
-0.07848023931< 0.1%
 
-0.06614187391< 0.1%
 
-0.060353227511< 0.1%
 
-0.058997915871< 0.1%
 
ValueCountFrequency (%) 
1.1999513921< 0.1%
 
1.18384591< 0.1%
 
1.1428182131< 0.1%
 
1.140689491< 0.1%
 
1.1350189781< 0.1%
 

cont11
Real number (ℝ≥0)

Distinct299887
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4839264019
Minimum0.08327673657
Maximum1.022620142
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:36.658001image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.08327673657
5-th percentile0.1890675422
Q10.3004737983
median0.4419158589
Q30.6791281864
95-th percentile0.8714503848
Maximum1.022620142
Range0.939343405
Interquartile range (IQR)0.3786543881

Descriptive statistics

Standard deviation0.2200824402
Coefficient of variation (CV)0.4547849412
Kurtosis-0.9533871209
Mean0.4839264019
Median Absolute Deviation (MAD)0.1711160334
Skewness0.4193887531
Sum145177.9206
Variance0.0484362805
MonotocityNot monotonic
2021-01-05T19:41:37.223127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.26190052332< 0.1%
 
0.25237032282< 0.1%
 
0.39393830052< 0.1%
 
0.1887678412< 0.1%
 
0.33457808692< 0.1%
 
0.27003509122< 0.1%
 
0.49390777092< 0.1%
 
0.56443728932< 0.1%
 
0.37373614122< 0.1%
 
0.14609268052< 0.1%
 
Other values (299877)299980> 99.9%
 
ValueCountFrequency (%) 
0.083276736571< 0.1%
 
0.084331340381< 0.1%
 
0.084640284911< 0.1%
 
0.085800546811< 0.1%
 
0.085993654791< 0.1%
 
ValueCountFrequency (%) 
1.0226201421< 0.1%
 
1.0189501161< 0.1%
 
1.0164250751< 0.1%
 
1.0155064371< 0.1%
 
1.0154102911< 0.1%
 

cont12
Real number (ℝ≥0)

Distinct299886
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5068765631
Minimum0.08863482104
Maximum1.049025484
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:37.477183image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.08863482104
5-th percentile0.2145342166
Q10.310166002
median0.4865992903
Q30.6944525331
95-th percentile0.8673104689
Maximum1.049025484
Range0.9603906632
Interquartile range (IQR)0.3842865311

Descriptive statistics

Standard deviation0.2189473999
Coefficient of variation (CV)0.4319540809
Kurtosis-1.129981046
Mean0.5068765631
Median Absolute Deviation (MAD)0.1903586838
Skewness0.2831736081
Sum152062.9689
Variance0.04793796394
MonotocityNot monotonic
2021-01-05T19:41:37.621215image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.28173473022< 0.1%
 
0.61105929242< 0.1%
 
0.36725191792< 0.1%
 
0.33443155012< 0.1%
 
0.36951838112< 0.1%
 
0.49602791132< 0.1%
 
0.81921268892< 0.1%
 
0.86408947812< 0.1%
 
0.46957625152< 0.1%
 
0.71255117892< 0.1%
 
Other values (299876)299980> 99.9%
 
ValueCountFrequency (%) 
0.088634821041< 0.1%
 
0.091488050771< 0.1%
 
0.092574883111< 0.1%
 
0.094158241581< 0.1%
 
0.095372771891< 0.1%
 
ValueCountFrequency (%) 
1.0490254841< 0.1%
 
1.045412261< 0.1%
 
1.0452966581< 0.1%
 
1.0450738511< 0.1%
 
1.0445486811< 0.1%
 

cont13
Real number (ℝ≥0)

Distinct299728
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5534416142
Minimum0.02995023696
Maximum0.977845054
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:37.918282image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02995023696
5-th percentile0.2812491119
Q10.3504718906
median0.4877074727
Q30.7684793742
95-th percentile0.9242161469
Maximum0.977845054
Range0.947894817
Interquartile range (IQR)0.4180074836

Descriptive statistics

Standard deviation0.2297303025
Coefficient of variation (CV)0.4150940164
Kurtosis-1.386689166
Mean0.5534416142
Median Absolute Deviation (MAD)0.1637758081
Skewness0.3203494994
Sum166032.4843
Variance0.05277601188
MonotocityNot monotonic
2021-01-05T19:41:38.068316image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.37303597163< 0.1%
 
0.62180273482< 0.1%
 
0.81238137052< 0.1%
 
0.80416846972< 0.1%
 
0.92710371392< 0.1%
 
0.38354952962< 0.1%
 
0.38130110952< 0.1%
 
0.49881225212< 0.1%
 
0.35937847292< 0.1%
 
0.93371640382< 0.1%
 
Other values (299718)299979> 99.9%
 
ValueCountFrequency (%) 
0.029950236961< 0.1%
 
0.035363282071< 0.1%
 
0.039938940441< 0.1%
 
0.043886827791< 0.1%
 
0.044735949551< 0.1%
 
ValueCountFrequency (%) 
0.9778450541< 0.1%
 
0.97738096841< 0.1%
 
0.97731320531< 0.1%
 
0.9771411021< 0.1%
 
0.97713029371< 0.1%
 

cont14
Real number (ℝ≥0)

Distinct299868
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5037129309
Minimum0.1663674107
Maximum0.8685064129
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-01-05T19:41:38.319371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.1663674107
5-th percentile0.2309033346
Q10.3086731823
median0.4318453835
Q30.7126534391
95-th percentile0.8299797218
Maximum0.8685064129
Range0.7021390022
Interquartile range (IQR)0.4039802569

Descriptive statistics

Standard deviation0.20823756
Coefficient of variation (CV)0.4134052298
Kurtosis-1.422512661
Mean0.5037129309
Median Absolute Deviation (MAD)0.1715151423
Skewness0.2525481671
Sum151113.8793
Variance0.04336288138
MonotocityNot monotonic
2021-01-05T19:41:38.449401image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.31032308932< 0.1%
 
0.23824736352< 0.1%
 
0.37657623222< 0.1%
 
0.41024596042< 0.1%
 
0.27660098342< 0.1%
 
0.64057467312< 0.1%
 
0.31970552882< 0.1%
 
0.30533395432< 0.1%
 
0.63755535872< 0.1%
 
0.2839085342< 0.1%
 
Other values (299858)299980> 99.9%
 
ValueCountFrequency (%) 
0.16636741071< 0.1%
 
0.16997740631< 0.1%
 
0.17011166641< 0.1%
 
0.17051841111< 0.1%
 
0.17080123271< 0.1%
 
ValueCountFrequency (%) 
0.86850641291< 0.1%
 
0.86819963381< 0.1%
 
0.86799227511< 0.1%
 
0.86794846951< 0.1%
 
0.86793703181< 0.1%
 

target
Real number (ℝ≥0)

Distinct299811
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.905661328
Minimum0
Maximum10.2675685
Zeros1
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-01-05T19:41:38.711460image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.734146544
Q17.329367053
median7.94057067
Q38.470084003
95-th percentile9.020396876
Maximum10.2675685
Range10.2675685
Interquartile range (IQR)1.14071695

Descriptive statistics

Standard deviation0.7330708304
Coefficient of variation (CV)0.09272732538
Kurtosis-0.4826220004
Mean7.905661328
Median Absolute Deviation (MAD)0.5619526588
Skewness-0.07739896881
Sum2371698.398
Variance0.5373928423
MonotocityNot monotonic
2021-01-05T19:41:38.844489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8.6483108572< 0.1%
 
7.7779523372< 0.1%
 
7.7133746572< 0.1%
 
8.1495777382< 0.1%
 
8.5921682322< 0.1%
 
8.5178242732< 0.1%
 
8.4258133042< 0.1%
 
7.2859849142< 0.1%
 
7.5825262832< 0.1%
 
7.1068269372< 0.1%
 
Other values (299801)299980> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
3.7004588981< 0.1%
 
4.2562073811< 0.1%
 
4.3463217871< 0.1%
 
4.4172086781< 0.1%
 
ValueCountFrequency (%) 
10.26756851< 0.1%
 
10.240003191< 0.1%
 
10.227541351< 0.1%
 
10.186179431< 0.1%
 
10.182292171< 0.1%
 

Interactions

2021-01-05T19:40:33.522502image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:33.763555image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:33.981604image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:34.195652image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:34.407699image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:34.777782image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:34.998832image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:35.209878image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:35.424927image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:35.646976image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:35.868026image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:36.100077image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:36.338131image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:36.559180image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:36.768226image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:36.981390image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:37.181433image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:37.386479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:37.591525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:37.794570image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:37.999626image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:38.203969image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:38.412016image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:38.627064image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:38.879120image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:39.122175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:39.339223image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:39.565273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:39.789323image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:40.013374image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:40.261430image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:40.499482image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:40.714530image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:40.923576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:41.136624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:41.356673image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:41.571721image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:41.789770image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:42.026823image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:42.250873image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:42.482924image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:42.730980image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:42.953030image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:43.189082image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:43.418133image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:43.623180image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:43.871235image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:44.105287image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:44.319335image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:44.539384image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:44.768434image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:44.990485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:45.199532image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:45.412580image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:45.686640image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:45.947698image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:46.170749image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:46.399800image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:46.653856image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:46.885908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:47.099955image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:47.580037image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:47.808088image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:48.024136image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:48.248186image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:48.479237image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:48.711289image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:48.950350image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:49.163396image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:49.387446image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:49.622499image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:49.858552image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:50.096605image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:50.317654image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:50.526701image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:50.748751image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:50.958798image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:51.166844image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:51.373890image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:51.586938image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:51.785982image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:52.005031image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:52.224080image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:52.433126image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:52.670180image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:52.881227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:53.103276image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:53.316324image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:53.531372image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:53.753421image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:53.974471image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:54.191519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:54.401566image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:54.612613image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:54.880674image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:55.124728image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:55.344777image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:55.552823image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:55.763870image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:55.970917image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:56.178963image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:56.385009image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:56.598056image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:56.816105image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:57.025152image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:57.238199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:57.446247image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:57.656293image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:57.867339image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:58.071385image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:58.278431image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:58.491480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:58.692524image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:58.901571image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:59.116620image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:59.330667image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:59.548715image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:59.763763image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:40:59.977812image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:00.189858image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:04.309779image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:05.209980image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:05.664081image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:06.974373image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:07.191422image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:07.615516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:07.835565image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:08.047613image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:08.258660image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:08.464705image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:08.670752image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:08.883799image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:09.096848image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:09.300893image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:09.514940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:09.725987image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:09.934034image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:10.143081image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:10.350127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:10.991270image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:11.206319image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:11.422366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:11.636414image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:11.845460image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:12.052507image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:12.261554image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:12.475601image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:12.682648image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:12.886693image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:13.102742image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:13.341795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:13.559844image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:13.773891image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:13.995942image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:14.210989image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:14.420035image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:14.639084image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:14.860134image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:15.067180image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:15.269225image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:19.349136image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:19.562184image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:19.775230image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:19.985278image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:20.501393image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:20.724443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:20.942492image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:21.152539image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:21.591637image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:27.088864image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:28.005068image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:29.049302image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
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2021-01-05T19:41:29.661438image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:29.870485image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Correlations

2021-01-05T19:41:38.974517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-01-05T19:41:39.166560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-01-05T19:41:39.357603image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-01-05T19:41:39.551646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-01-05T19:41:30.588646image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2021-01-05T19:41:31.121764image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Sample

First rows

idcont1cont2cont3cont4cont5cont6cont7cont8cont9cont10cont11cont12cont13cont14target
010.6703900.8113000.6439680.2917910.2841170.8559530.8907000.2855420.5582450.7794180.9218320.8667720.8787330.3054117.243043
130.3880530.6211040.6861020.5011490.6437900.4498050.5108240.5807480.4183350.4326320.4398720.4349710.3699570.3694848.203331
240.8349500.2274360.3015840.2934080.6068390.8291750.5061430.5587710.5876030.8233120.5670070.6777080.8829380.3030477.776091
350.8207080.1601550.5468870.7261040.2824440.7851080.7527580.8232670.5744660.5808430.7695940.8181430.9142810.2795286.957716
480.9352780.4212350.3038010.8802140.6656100.8301310.4871130.6041570.8746580.8634270.9835750.9004640.9359180.4357727.951046
590.3526230.2588670.3273730.8026270.2842190.2968860.2097430.2737100.3080180.2358510.2787600.2514060.3391350.2931297.346874
6110.2590960.8039340.5809000.3228840.9847050.3782470.4328210.5620590.2909650.3165430.2191920.3269770.4586530.2443008.616237
7120.4816100.8054460.2358360.3650110.7347250.4048250.4650610.5787940.4188070.4519580.4587200.5865860.3210260.8346946.833895
8130.6679200.7764220.2551540.8695980.6780670.4752740.4932900.6387790.4910230.6174510.4133520.4855580.4740550.6083748.540793
9150.9377510.2364820.2164450.4764630.2836420.4567630.3164160.7856020.6958450.3709410.4368350.8262780.8567480.4185937.701053

Last rows

idcont1cont2cont3cont4cont5cont6cont7cont8cont9cont10cont11cont12cont13cont14target
2999904999890.3263890.6188630.7040980.4135790.8520300.2782730.3333120.2724170.2729380.2351760.2116980.2581030.3842130.3260196.772837
2999914999910.4769620.3599240.9221560.4132950.6316930.3805960.3680660.3718030.4276260.4574690.5292200.5933880.3303630.3758198.078903
2999924999920.6532590.6833480.3557410.8763770.2841550.4704841.0139140.4897460.6122780.5936270.8826720.9262570.3045610.7191207.577956
2999934999930.6606520.8012680.7475230.4925780.6478060.6228340.7819980.6218810.4727920.7363140.7752020.8099400.7084390.7193159.041712
2999944999940.3043620.5555320.7351490.3362870.7726760.2829650.3085380.5028720.2709410.1858030.1845610.2142640.4332140.7412368.435371
2999954999950.2169740.7352650.6486480.2553870.6163530.3451970.2957180.3043570.3143510.8605040.3153970.2476820.4865420.2887507.385215
2999964999960.5457990.1651390.2209660.1900530.3593620.3863360.3657670.3442170.4664460.4545810.3602510.3607550.2925350.6199847.242617
2999974999970.2844010.8415420.9575850.3403830.3962790.3303760.5256870.2600390.3781740.5269250.4917350.5166290.1735210.7145529.592487
2999984999980.4819000.6223460.5400320.8231180.2830660.4342830.1743420.7108430.3586900.6482720.9846471.0011100.0639560.3776938.207951
2999994999990.4866320.2300900.5435870.2638780.2791180.6362950.4723910.3396540.4447870.6367650.7821960.5596920.7629540.2155398.890285